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https://gitee.com/dify_ai/dify.git
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6c4e6bf1d6
Co-authored-by: jyong <jyong@dify.ai>
47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
"""Document loader helpers."""
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import concurrent.futures
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from typing import NamedTuple, Optional, cast
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class FileEncoding(NamedTuple):
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"""A file encoding as the NamedTuple."""
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encoding: Optional[str]
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"""The encoding of the file."""
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confidence: float
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"""The confidence of the encoding."""
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language: Optional[str]
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"""The language of the file."""
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def detect_file_encodings(file_path: str, timeout: int = 5) -> list[FileEncoding]:
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"""Try to detect the file encoding.
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Returns a list of `FileEncoding` tuples with the detected encodings ordered
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by confidence.
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Args:
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file_path: The path to the file to detect the encoding for.
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timeout: The timeout in seconds for the encoding detection.
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"""
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import chardet
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def read_and_detect(file_path: str) -> list[dict]:
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with open(file_path, "rb") as f:
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rawdata = f.read()
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return cast(list[dict], chardet.detect_all(rawdata))
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with concurrent.futures.ThreadPoolExecutor() as executor:
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future = executor.submit(read_and_detect, file_path)
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try:
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encodings = future.result(timeout=timeout)
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except concurrent.futures.TimeoutError:
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raise TimeoutError(
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f"Timeout reached while detecting encoding for {file_path}"
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)
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if all(encoding["encoding"] is None for encoding in encodings):
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raise RuntimeError(f"Could not detect encoding for {file_path}")
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return [FileEncoding(**enc) for enc in encodings if enc["encoding"] is not None]
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